Triple
T7958078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kid Gavilán |
E184790
|
entity |
| Predicate | fightingCharacteristic |
P35675
|
FINISHED |
| Object | high work rate |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: high work rate | Statement: [Kid Gavilán, fightingCharacteristic, high work rate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fightingCharacteristic Context triple: [Kid Gavilán, fightingCharacteristic, high work rate]
-
A.
opponentForceCharacteristic
Indicates a characteristic or attribute that describes the nature, capability, or condition of an opposing force.
-
B.
combatStyleAgainst
Indicates the specific way or method one entity uses to fight or engage in combat when facing another entity.
-
C.
methodOfCombat
chosen
Indicates the specific technique, style, or means by which an entity engages in combat or fighting.
-
D.
methodOfDefeat
Indicates the specific way or technique by which one entity defeats or overcomes another.
-
E.
hasFightingStance
Indicates that an entity adopts or is characterized by a particular combat or fighting posture.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b7ebb24819094bc011d51ef63fb |
completed | March 31, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69cb0473d7dc8190a25d0cf460b9fcbe |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:11 p.m.